University of Wisconsin Computer Sciences Header Map (repeated with 
textual links if page includes departmental footer) Useful Resources Research at UW-Madison CS Dept UW-Madison CS Undergraduate Program UW-Madison CS Graduate Program UW-Madison CS People Useful Information Current Seminars in the CS Department Search Our Site UW-Madison CS Computer Systems Laboratory UW-Madison Computer Sciences Department Home Page UW-Madison Home Page

R. Maclin, J. Shavlik, T. Walker & L. Torrey (2006).
A Simple and Effective Method for Incorporating Advice into Kernel Methods. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI'06), Boston, MA.
Slides (PPT).



This publication is available in PDF.

The slides for this publication are available in Microsoft PowerPoint.

Abstract:

We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our approach is based on introducing inequality constraints associated with datapoints that match the advice. These constrained datapoints can be standard examples in the training set, but can also be unlabeled data in a semi-supervised, advice-taking approach. Our new approach is simpler to implement and more efficiently solved than the knowledge-based support vector classification methods of Fung, Mangasarian and Shavlik (2002; 2003) and the knowledge-based support vector regression method of Mangasarian, Shavlik, and Wild (2004), while performing approximately as well as these more complex approaches. Experiments using our new approach on a synthetic task and a reinforcementlearning problem within the RoboCup soccer simulator show that our advice-taking method can significantly outperform a method without advice and perform similarly to prior advice-taking, support-vector machines.


return Return to the publications of the Univ. of Wisconsin Machine Learning Research Group.

Computer Sciences Department
College of Letters and Science
University of Wisconsin - Madison


INFORMATION ~ PEOPLE ~ GRADS ~ UNDERGRADS ~ RESEARCH ~ RESOURCES

5355a Computer Sciences and Statistics ~ 1210 West Dayton Street, Madison, WI 53706
cs@cs.wisc.edu ~ voice: 608-262-1204 ~ fax: 608-262-9777